Teaching GuideTerm Higher Technical University College of Civil Engineering |
Guía Provisional |
Máster Universitario en Xestión Sostible da Auga |
Subjects |
Optimization Techniques. Identification of Parameters and Bayesian Inference |
Competencies / Study results |
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Identifying Data | 2024/25 | |||||||||||||
Subject | Optimization Techniques. Identification of Parameters and Bayesian Inference | Code | 632549029 | |||||||||||
Study programme |
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Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
Official Master's Degree | 2nd four-month period |
First | Optional | 3 | ||||||||||
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Code | Study programme competences / results |
A8 | CON8 Recognize the main tools for the management of hydrological data and water-related information, and how data can be used for decision-making through methods based on statistical concepts or artificial intelligence |
B5 | HAB5 Utilize Geographic Information Systems (GIS) for the processing and development of geospatial data. Manage GIS tools, statistical tools, and artificial intelligence-based tools for data analysis related to water management. |
C6 | COM6 Integrate diverse data sources into decision frameworks to facilitate improved management of water resources |
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